摘要
大数据时代媒体行业应该如何运用大数据技术融合创新,提升信息服务的能力和水平。可以看到包括汤森路透、彭博、美联社在内的很多国外主流媒体都在积极运用大数据技术融入到新闻的生产和传播流程,在业务形式上力求创新。针对不断涌现的新技术形态,国内媒体近年来也加大了在技术创新方面的研究力度。其中,作者参与的科技部研究课题通过开展云计算、信息搜索、语义分析、文本挖掘、机器学习、知识网络、知识图谱、个性化推荐等大数据关键性前沿性技术研究,创新性地将相关技术集成融合,努力打造财经信息智能云服务平台,满足大数据时代用户对“信息智能服务”的需求。
how should the media industry use big data technology to integrate innovation and improve the ability and level of information service in big data age. It can be seen that many mainstream foreign media, including Tang-senlutou, Bloomberg, and Associated Press, are actively using big data technology to integrate into the production and dissemination process of news, and strive to innovate in business forms. In view of the emerging new technologies, the domestic media has also intensified its research efforts in technological innovation in recent years. Among them, the research topics of the Ministry of Science and Technology, which the author participated in, innovatively integrated related technologies through research on key frontier technologies such as cloud computing, information search, semantic analysis, text mining, machine learning, knowledge networks, knowledge maps, and personalized recommendations. We will work hard to build a financial information smart cloud service platform to meet the needs of users in the era of big data for " information intelligence services."
出处
《数码设计》
2019年第5期8-12,共5页
Peak Data Science
关键词
大数据
财经信息服务高性能云平台
分布式高效搜索引擎
财经知识图谱
big data
Financial information service high - performance cloud platform
Distributed and efficient search engine
Financial knowledge map
